Job Description: AI – First: Technical Project Lead   Role Overview  We are seeking a Technical Project Lead to lead and deliver full stack software projects.  This role requires a strong blend of agile delivery leadership, technical depth, and stakeholder (client, team etc.) management. You will work closely with clients, product owners, Tech Leads, full stack engineers and AI engineers to ensure timely, high-quality delivery of scalable, intelligent solutions.  The ideal candidate is hands-on with Agile/Scrum practices, deeply understands modern web and GenAI architectures, and can bridge the gap between business goals and technical execution.  Key Responsibilities  Project Planning & Delivery 

1. Own end-to-end project planning and execution across all software development phases (Requirements, Architecture & Design, Development and Release) 

1. Serve as Project Lead for one or more cross-functional Agile teams 

1. Create and manage project plans, timelines, risk registers, and dependency tracking 

1. Manage scope, schedule, and quality while balancing evolving product needs 

1. Facilitate all Scrum ceremonies: Sprint Planning, Daily Standups, Reviews, and Retrospectives 

1. Ensure adherence to Agile/Scrum principles, removing impediments and enabling continuous improvement 

Agile & Delivery Leadership 

• Ensure adherence to Agile/Scrum principles, removing impediments and enabling continuous improvement 

• Coach teams on Agile best practices(across the SDLC) and foster a culture of accountability and transparency 

• Track and improve delivery metrics (velocity, quality, predictability) 

• Support post-release reviews and continuous improvement initiatives 

• Leverage AI for acceleration of software development including project planning & execution 

Stakeholder & Communication Management 

• Act as the primary point of contact for internal and external stakeholders 

Contract Type: Full-Time Contract Location: India Remote only This is a remote role; However, candidates should be open to travel for team meetups or client visits, as required.

Role Overview:

Designs, builds, and maintains scalable cloud infrastructure using IaC and automates CI/CD pipelines. Lead incident management, optimize system performance & ensure security compliance. This is an engineering-first role — you will be close to the code, the infrastructure, and the decisions that shape how we build and operate at scale. 

Core Responsibilities 

• Infrastructure as Code (IaC): Design and manage infrastructure as code  
• CI/CD Pipeline Development: Create and maintain robust, scalable CI/CD pipelines to ensure rapid, reliable code deployment. 
• Cloud Management: Deploy and manage cloud-based production systems focusing on performance, scalability, and security. 
• Containerization & Orchestration: Manage container-based deployments utilizing Docker and Kubernetes. 
• Monitoring & Incident Response: Monitor system health using and lead on-call incident resolution. 
• Security & Compliance: Integrate security best practices (DevSecOps) at the infrastructure level 
• Teaming & Collaboration: Mentor DevOps engineers & cloud teams, collaborate closely with application, data, security, and infrastructure teams. Contribute to technical roadmaps, architecture standards, and internal documentation. 

Experience (Must Have) 

• 7+ years of overall IT experience, with 5+ years in DevOps or cloud-native engineering roles. 
• Proven track record designing and operating enterprise-scale, production-ready cloud platforms. 
• Experience integrating automation across CI/CD, infrastructure provisioning, and operational workflows. 

Technical Skills (Must Have & Recent Experience) 

• Cloud: AWS — compute, networking, storage, IAM, and security services. 
• Containers: Kubernetes - EKS 
• IaC: Terraform at enterprise scale; policy enforcement and drift management. 
• Configuration Management: Ansible or similar  
• CI/CD: GitHub Actions. 
• Observability: Grafana, Prometheus or similar tools  
• Programming: Python/ Node.js for automation, integration, and AI-assisted tooling.  
• Security: Cloud IAM design, RBAC and policy-as-code. 

Soft Skills 

• Self-motivated, outcome-focused, and passionate about automation and continuous improvement. 
• Strong design thinking and structured problem-solving approach. 
• Clear, confident communication with both technical peers & non-technical stakeholders. 
• Ability to influence technical direction and drive alignment across teams. 

Nice to have 

• Background working in multi-cloud or hybrid cloud environments. 
• AI Exposure: Practical experience using GitHub Copilot, Claude, or equivalent AI-assisted tools in infrastructure design, incident analysis, or documentation workflows.  

At DigitalT3, we believe in creating a collaborative and flexible environment where innovation and people truly matter. Our culture is built on trust, transparency, and continuous learning — because great ideas come from empowered teams.  At the end of the day, it’s not just about the work — it’s about being part of a team that values people, purpose, and growth. 

What Success Looks Like:

A successful SSE delivers high-impact solutions that meet customer needs while maintaining engineering excellence. They build strong customer trust, take ownership of outcomes, and help bridge the gap between real-world customer problems and scalable product solutions.

Benefits:

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Own solutions from Design, to Adoption
• Global Collaboration: U.S., Mexico, India, Sri Lanka
• Remote-First Culture with flexible work arrangements and in person meet-ups
• Career Growth Opportunities in a fast-evolving AI environment

Contract Type: Full-Time Contract (Mexico-based, long-term engagement) Location: Remote – Mexico only (preferred: Jalisco, Aguascalientes, Colima, Nayarit, Michoacán, Guanajuato)

This is a remote role; However, candidates should be open to travel for team meetups or client visits, as required.

Eligibility: Must have valid work authorization in Mexico (Mexican citizen or authorized to work in Mexico without sponsorship).

Role Overview

Designs, builds, and maintains scalable cloud infrastructure using IaC and automates CI/CD pipelines. Lead incident management, optimize system performance & ensure security compliance. This is an engineering-first role — you will be close to the code, the infrastructure, and the decisions that shape how we build and operate at scale. 

Core Responsibilities 

• Infrastructure as Code (IaC): Design and manage infrastructure as code  
• CI/CD Pipeline Development: Create and maintain robust, scalable CI/CD pipelines to ensure rapid, reliable code deployment. 
• Cloud Management: Deploy and manage cloud-based production systems focusing on performance, scalability, and security. 
• Containerization & Orchestration: Manage container-based deployments utilizing Docker and Kubernetes. 
• Monitoring & Incident Response: Monitor system health using and lead on-call incident resolution. 
• Security & Compliance: Integrate security best practices (DevSecOps) at the infrastructure level 
• Teaming & Collaboration: Collaborate closely with application, data, security, and infrastructure teams. Contribute to technical roadmaps, architecture standards, and internal documentation. 

Experience (Must Have) 

• 4+ years of overall IT experience, with 2+ years in DevOps or cloud-native engineering roles. 
• Proven track record designing and operating enterprise-scale, production-ready cloud platforms. 
• Experience integrating automation across CI/CD, infrastructure provisioning, and operational workflows. 

Technical Skills (Must Have & Recent Experience) 

• Cloud: AWS — compute, networking, storage, IAM, and security services. 
• Containers: Kubernetes - EKS 
• IaC: Terraform at enterprise scale; policy enforcement and drift management. 
• Configuration Management : Ansible or similar  
• CI/CD: GitHub Actions. 
• Observability: Grafana, Prometheus or similar tools  
• Programming: Python/ Node.js for automation, integrations, and AI-assisted tooling;  
• Security: Cloud IAM design, RBAC and policy-as-code. 

Soft Skills 

• Self-motivated, outcome-focused, and passionate about automation and continuous improvement. 
• Strong design thinking and structured problem-solving approach. 
• Clear, confident communication with both technical peers & non-technical stakeholders. 
• Ability to influence technical direction and drive alignment across teams. 

Nice to have 

• Background working in multi-cloud or hybrid cloud environments. 
• AI Exposure: Practical experience using GitHub Copilot, Claude, or equivalent AI-assisted tools in infrastructure design, incident analysis, or documentation workflows.  

At DigitalT3, we believe in creating a collaborative and flexible environment where innovation and people truly matter. Our culture is built on trust, transparency, and continuous learning — because great ideas come from empowered teams.  At the end of the day, it’s not just about the work — it’s about being part of a team that values people, purpose, and growth. 

What Success Looks Like:

A successful SE delivers high-impact solutions that meet customer needs while maintaining engineering excellence. They build strong customer trust, take ownership of outcomes, and help bridge the gap between real-world customer problems and scalable product solutions.

Benefits:

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Own solutions from Design, to Adoption
• Global Collaboration: U.S., Mexico, India, Sri Lanka
• Remote-First Culture with flexible work arrangements and in person meet-ups
• Career Growth Opportunities in a fast-evolving AI environment

Contract Type: Full-Time Contract (Mexico-based, long-term engagement) Location: Remote – Mexico only (preferred: Jalisco, Aguascalientes, Colima, Nayarit, Michoacán, Guanajuato)

This is a remote role; However, candidates should be open to travel for team meetups or client visits, as required.

Eligibility: Must have valid work authorization in Mexico (Mexican citizen or authorized to work in Mexico without sponsorship).

Role Overview:

Designs, builds, and maintains scalable cloud infrastructure using IaC and automates CI/CD pipelines. Lead incident management, optimize system performance & ensure security compliance. This is an engineering-first role — you will be close to the code, the infrastructure, and the decisions that shape how we build and operate at scale. 

Core Responsibilities 

• Infrastructure as Code (IaC): Design and manage infrastructure as code  
• CI/CD Pipeline Development: Create and maintain robust, scalable CI/CD pipelines to ensure rapid, reliable code deployment. 
• Cloud Management: Deploy and manage cloud-based production systems focusing on performance, scalability, and security. 
• Containerization & Orchestration: Manage container-based deployments utilizing Docker and Kubernetes. 
• Monitoring & Incident Response: Monitor system health using and lead on-call incident resolution. 
• Security & Compliance: Integrate security best practices (DevSecOps) at the infrastructure level 
• Teaming & Collaboration: Mentor DevOps engineers & cloud teams, collaborate closely with application, data, security, and infrastructure teams. Contribute to technical roadmaps, architecture standards, and internal documentation. 

Experience (Must Have) 

• 7+ years of overall IT experience, with 5+ years in DevOps or cloud-native engineering roles. 
• Proven track record designing and operating enterprise-scale, production-ready cloud platforms. 
• Experience integrating automation across CI/CD, infrastructure provisioning, and operational workflows. 

Technical Skills (Must Have & Recent Experience) 

• Cloud: AWS — compute, networking, storage, IAM, and security services. 
• Containers: Kubernetes - EKS 
• IaC: Terraform at enterprise scale; policy enforcement and drift management. 
• Configuration Management: Ansible or similar  
• CI/CD: GitHub Actions. 
• Observability: Grafana, Prometheus or similar tools  
• Programming: Python/ Node.js for automation, integration, and AI-assisted tooling.  
• Security: Cloud IAM design, RBAC and policy-as-code. 

Soft Skills 

• Self-motivated, outcome-focused, and passionate about automation and continuous improvement. 
• Strong design thinking and structured problem-solving approach. 
• Clear, confident communication with both technical peers & non-technical stakeholders. 
• Ability to influence technical direction and drive alignment across teams. 

Nice to have 

• Background working in multi-cloud or hybrid cloud environments. 
• AI Exposure: Practical experience using GitHub Copilot, Claude, or equivalent AI-assisted tools in infrastructure design, incident analysis, or documentation workflows.  

At DigitalT3, we believe in creating a collaborative and flexible environment where innovation and people truly matter. Our culture is built on trust, transparency, and continuous learning — because great ideas come from empowered teams.  At the end of the day, it’s not just about the work — it’s about being part of a team that values people, purpose, and growth. 

What Success Looks Like:

A successful SSE delivers high-impact solutions that meet customer needs while maintaining engineering excellence. They build strong customer trust, take ownership of outcomes, and help bridge the gap between real-world customer problems and scalable product solutions.

Benefits:

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Own solutions from Design, to Adoption
• Global Collaboration: U.S., Mexico, India, Sri Lanka
• Remote-First Culture with flexible work arrangements and in person meet-ups
• Career Growth Opportunities in a fast-evolving AI environment

Contract Type: Full-time or Contract-to-Hire. Location: Remote – Anywhere in Netherlands (PST-friendly preferred). Eligibility: Must have valid work authorization in the Netherlands (EU citizen or authorized to work in the Netherlands without sponsorship).

About DigitalT3

At DigitalT3, we design and deploy AI-powered solutions that transform how enterprises operate. We are not just implementing AI tools — we are building intelligent systems from the core.

We are actively developing next-generation AI capabilities while helping global clients accelerate innovation. Our teams across the U.S., Mexico, and India collaborate to solve complex technical challenges with speed, precision, and impact.

If you’re driven by ownership, technical excellence, and building meaningful technology, DigitalT3 is where you can do your best work.

You will be joining a strategic client initiative, initially engaged through DigitalT3, with a defined path toward potential direct hire by the client.

Role Overview:

We are seeking a Solutions Engineer who combines deep technical expertise with strong consultative capabilities. In this role, you will act as a trusted technical advisor to enterprise customers, guiding them through complex integrations and ensuring our platform delivers measurable business impact within their environments.  You will work directly alongside customer teams-both remotely and on-site when needed- to understand their operational landscape, technical architecture, and strategic objectives. As a key bridge between enterprise stakeholders and our core engineering team, you will drive successful deployments while shaping product evolution through real-world insights.  This is a high-ownership, customer-embedded role requiring flexibility, adaptability, and readiness to engage directly with clients in their environments.   

Key Responsibilities:

Customer-Facing Consulting & Technical Leadership 

• Serve as the primary technical advisor to enterprise clients throughout onboarding, deployment, and expansion phases. 
• Lead technical discovery sessions and translate business requirements into scalable implementation strategies. 
• Provide architectural guidance aligned with enterprise security, compliance, and operational constraints. 
• Build trusted relationships with customer technical and executive stakeholders. 
• Troubleshoot complex issues in real time, maintaining ownership and accountability through resolution. 
• Travel to customer sites as required to support high-impact deployments, workshops, and strategic engagements. 

Integration & Implementation 

• Deploy and configure the platform in enterprise production environments. 
• Integrate with customer systems, APIs, identity providers, data sources, and internal workflows. 
• Implement custom scripts, connectors, or extensions in Python when required. 
• Guide Cloud-based deployments and advise on infrastructure best practices. 
• Ensure deployments are robust, secure, and scalable. 

Operational & Strategic Ownership 

• Develop repeatable deployment frameworks, integration playbooks, and best practices. 
• Partner with Sales and Customer Success on technical scoping and feasibility analysis. 
• Translate field learnings into product and engineering improvements. 
• Support scalable growth of forward-deployed operations. 

Qualifications:

• 7-10 years in software engineering, solutions engineering, implementation engineering, consulting, or forward-deployed roles. 
• Proven experience working directly with enterprise customers in technical engagements. 
• Experience deploying/integrating systems on a major cloud provider (preferably Azure). 
• Strong Python experience in production environments. 
• Experience in high-growth or startup environments is a plus. 
• Bachelor’s or Master’s degree in Computer Science or related technical field. 

Technical Skills:

• Must Have (Integration Experience): ServiceNow, Salesforce, Workday, SAP, Oracle
• Strong proficiency in Python. 
• Familiarity with Azure services and enterprise cloud architectures. 
• Experience integrating with enterprise systems, APIs, and authentication frameworks. 
• Strong understanding of cloud deployment models, security constraints, and operational best practices. 
• Advanced debugging and troubleshooting capabilities. 

Soft Skills:

• Exceptional communication skills across technical and non-technical stakeholders. 
• Strong consultative mindset with the ability to influence architectural decisions. 
• High level of ownership and accountability. 
• Professional presence when engaging enterprise stakeholders. 
• Ability to operate effectively in ambiguous, fast-paced environments. 
• Structured problem-solving and analytical thinking. 
• Highly collaborative and adaptable. 

Benefits:

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Architectural influence and hands-on execution
• Global Collaboration: U.S., Mexico, India
• Remote-First Culture with flexible work arrangements
• Career Growth Opportunities in a fast-evolving AI environment

Contract Type: Full-time or Contract-to-Hire. Location: Remote – Anywhere in Germany (PST-friendly preferred). Eligibility: Must have valid work authorization in Germany (EU citizen or authorized to work in Germany without sponsorship).

About DigitalT3

At DigitalT3, we design and deploy AI-powered solutions that transform how enterprises operate. We are not just implementing AI tools — we are building intelligent systems from the core.

We are actively developing next-generation AI capabilities while helping global clients accelerate innovation. Our teams across the U.S., Mexico, and India collaborate to solve complex technical challenges with speed, precision, and impact.

If you’re driven by ownership, technical excellence, and building meaningful technology, DigitalT3 is where you can do your best work.

You will be joining a strategic client initiative, initially engaged through DigitalT3, with a defined path toward potential direct hire by the client.

Role Overview:

We are seeking a Solutions Engineer who combines deep technical expertise with strong consultative capabilities. In this role, you will act as a trusted technical advisor to enterprise customers, guiding them through complex integrations and ensuring our platform delivers measurable business impact within their environments.  You will work directly alongside customer teams-both remotely and on-site when needed- to understand their operational landscape, technical architecture, and strategic objectives. As a key bridge between enterprise stakeholders and our core engineering team, you will drive successful deployments while shaping product evolution through real-world insights.  This is a high-ownership, customer-embedded role requiring flexibility, adaptability, and readiness to engage directly with clients in their environments.   

Key Responsibilities:

Customer-Facing Consulting & Technical Leadership 

• Serve as the primary technical advisor to enterprise clients throughout onboarding, deployment, and expansion phases. 
• Lead technical discovery sessions and translate business requirements into scalable implementation strategies. 
• Provide architectural guidance aligned with enterprise security, compliance, and operational constraints. 
• Build trusted relationships with customer technical and executive stakeholders. 
• Troubleshoot complex issues in real time, maintaining ownership and accountability through resolution. 
• Travel to customer sites as required to support high-impact deployments, workshops, and strategic engagements. 

Integration & Implementation 

• Deploy and configure the platform in enterprise production environments. 
• Integrate with customer systems, APIs, identity providers, data sources, and internal workflows. 
• Implement custom scripts, connectors, or extensions in Python when required. 
• Guide Cloud-based deployments and advise on infrastructure best practices. 
• Ensure deployments are robust, secure, and scalable. 

Operational & Strategic Ownership 

• Develop repeatable deployment frameworks, integration playbooks, and best practices. 
• Partner with Sales and Customer Success on technical scoping and feasibility analysis. 
• Translate field learnings into product and engineering improvements. 
• Support scalable growth of forward-deployed operations. 

Qualifications:

• 7-10 years in software engineering, solutions engineering, implementation engineering, consulting, or forward-deployed roles. 
• Proven experience working directly with enterprise customers in technical engagements. 
• Experience deploying/integrating systems on a major cloud provider (preferably Azure). 
• Strong Python experience in production environments. 
• Experience in high-growth or startup environments is a plus. 
• Bachelor’s or Master’s degree in Computer Science or related technical field. 

Technical Skills:

• Must Have (Integration Experience): ServiceNow, Salesforce, Workday, SAP, Oracle
• Strong proficiency in Python. 
• Familiarity with Azure services and enterprise cloud architectures. 
• Experience integrating with enterprise systems, APIs, and authentication frameworks. 
• Strong understanding of cloud deployment models, security constraints, and operational best practices. 
• Advanced debugging and troubleshooting capabilities. 

Soft Skills:

• Exceptional communication skills across technical and non-technical stakeholders. 
• Strong consultative mindset with the ability to influence architectural decisions. 
• High level of ownership and accountability. 
• Professional presence when engaging enterprise stakeholders. 
• Ability to operate effectively in ambiguous, fast-paced environments. 
• Structured problem-solving and analytical thinking. 
• Highly collaborative and adaptable. 

Benefits:

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Architectural influence and hands-on execution
• Global Collaboration: U.S., Mexico, India
• Remote-First Culture with flexible work arrangements
• Career Growth Opportunities in a fast-evolving AI environment

Contract Type: Full-time or Contract-to-Hire. Location: Remote – Anywhere in Italy (PST-friendly preferred). Eligibility: Must have valid work authorization in Italy (EU citizen or authorized to work in Italy without sponsorship).

About DigitalT3

At DigitalT3, we design and deploy AI-powered solutions that transform how enterprises operate. We are not just implementing AI tools — we are building intelligent systems from the core.

We are actively developing next-generation AI capabilities while helping global clients accelerate innovation. Our teams across the U.S., Mexico, and India collaborate to solve complex technical challenges with speed, precision, and impact.

If you’re driven by ownership, technical excellence, and building meaningful technology, DigitalT3 is where you can do your best work.

You will be joining a strategic client initiative, initially engaged through DigitalT3, with a defined path toward potential direct hire by the client.

Role Overview:

We are seeking a Solutions Engineer who combines deep technical expertise with strong consultative capabilities. In this role, you will act as a trusted technical advisor to enterprise customers, guiding them through complex integrations and ensuring our platform delivers measurable business impact within their environments.  You will work directly alongside customer teams-both remotely and on-site when needed- to understand their operational landscape, technical architecture, and strategic objectives. As a key bridge between enterprise stakeholders and our core engineering team, you will drive successful deployments while shaping product evolution through real-world insights.  This is a high-ownership, customer-embedded role requiring flexibility, adaptability, and readiness to engage directly with clients in their environments.   

Key Responsibilities:

Customer-Facing Consulting & Technical Leadership 

• Serve as the primary technical advisor to enterprise clients throughout onboarding, deployment, and expansion phases. 
• Lead technical discovery sessions and translate business requirements into scalable implementation strategies. 
• Provide architectural guidance aligned with enterprise security, compliance, and operational constraints. 
• Build trusted relationships with customer technical and executive stakeholders. 
• Troubleshoot complex issues in real time, maintaining ownership and accountability through resolution. 
• Travel to customer sites as required to support high-impact deployments, workshops, and strategic engagements. 

Integration & Implementation 

• Deploy and configure the platform in enterprise production environments. 
• Integrate with customer systems, APIs, identity providers, data sources, and internal workflows. 
• Implement custom scripts, connectors, or extensions in Python when required. 
• Guide Cloud-based deployments and advise on infrastructure best practices. 
• Ensure deployments are robust, secure, and scalable. 

Operational & Strategic Ownership 

• Develop repeatable deployment frameworks, integration playbooks, and best practices. 
• Partner with Sales and Customer Success on technical scoping and feasibility analysis. 
• Translate field learnings into product and engineering improvements. 
• Support scalable growth of forward-deployed operations. 

Qualifications:

• 7-10 years in software engineering, solutions engineering, implementation engineering, consulting, or forward-deployed roles. 
• Proven experience working directly with enterprise customers in technical engagements. 
• Experience deploying/integrating systems on a major cloud provider (preferably Azure). 
• Strong Python experience in production environments. 
• Experience in high-growth or startup environments is a plus. 
• Bachelor’s or Master’s degree in Computer Science or related technical field. 

Technical Skills:

• Must Have (Integration Experience): ServiceNow, Salesforce, Workday, SAP, Oracle
• Strong proficiency in Python. 
• Familiarity with Azure services and enterprise cloud architectures. 
• Experience integrating with enterprise systems, APIs, and authentication frameworks. 
• Strong understanding of cloud deployment models, security constraints, and operational best practices. 
• Advanced debugging and troubleshooting capabilities. 

Soft Skills:

• Exceptional communication skills across technical and non-technical stakeholders. 
• Strong consultative mindset with the ability to influence architectural decisions. 
• High level of ownership and accountability. 
• Professional presence when engaging enterprise stakeholders. 
• Ability to operate effectively in ambiguous, fast-paced environments. 
• Structured problem-solving and analytical thinking. 
• Highly collaborative and adaptable. 

Benefits:

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Architectural influence and hands-on execution
• Global Collaboration: U.S., Mexico, India
• Remote-First Culture with flexible work arrangements
• Career Growth Opportunities in a fast-evolving AI environment

Contract Type: Full-time or Contract-to-Hire. Location: Toronto (PST-friendly preferred). Eligibility: Must have valid work authorization in Canada (Canadian citizen or permanent resident).

About DigitalT3

At DigitalT3, we design and deploy AI-powered solutions that transform how enterprises operate. We are not just implementing AI tools — we are building intelligent systems from the core.

We are actively developing next-generation AI capabilities while helping global clients accelerate innovation. Our teams across the U.S., Mexico, and India collaborate to solve complex technical challenges with speed, precision, and impact.

If you’re driven by ownership, technical excellence, and building meaningful technology, DigitalT3 is where you can do your best work.

You will be joining a strategic client initiative, initially engaged through DigitalT3, with a defined path toward potential direct hire by the client.

Role Overview:

We are seeking a Solutions Engineer who combines deep technical expertise with strong consultative capabilities. In this role, you will act as a trusted technical advisor to enterprise customers, guiding them through complex integrations and ensuring our platform delivers measurable business impact within their environments.  You will work directly alongside customer teams-both remotely and on-site when needed- to understand their operational landscape, technical architecture, and strategic objectives. As a key bridge between enterprise stakeholders and our core engineering team, you will drive successful deployments while shaping product evolution through real-world insights.  This is a high-ownership, customer-embedded role requiring flexibility, adaptability, and readiness to engage directly with clients in their environments.   

Key Responsibilities:

Customer-Facing Consulting & Technical Leadership 

• Serve as the primary technical advisor to enterprise clients throughout onboarding, deployment, and expansion phases. 
• Lead technical discovery sessions and translate business requirements into scalable implementation strategies. 
• Provide architectural guidance aligned with enterprise security, compliance, and operational constraints. 
• Build trusted relationships with customer technical and executive stakeholders. 
• Troubleshoot complex issues in real time, maintaining ownership and accountability through resolution. 
• Travel to customer sites as required to support high-impact deployments, workshops, and strategic engagements. 

Integration & Implementation 

• Deploy and configure the platform in enterprise production environments. 
• Integrate with customer systems, APIs, identity providers, data sources, and internal workflows. 
• Implement custom scripts, connectors, or extensions in Python when required. 
• Guide Cloud-based deployments and advise on infrastructure best practices. 
• Ensure deployments are robust, secure, and scalable. 

Operational & Strategic Ownership 

• Develop repeatable deployment frameworks, integration playbooks, and best practices. 
• Partner with Sales and Customer Success on technical scoping and feasibility analysis. 
• Translate field learnings into product and engineering improvements. 
• Support scalable growth of forward-deployed operations. 

Qualifications:

• 7-10 years in software engineering, solutions engineering, implementation engineering, consulting, or forward-deployed roles. 
• Proven experience working directly with enterprise customers in technical engagements. 
• Experience deploying/integrating systems on a major cloud provider (preferably Azure). 
• Strong Python experience in production environments. 
• Experience in high-growth or startup environments is a plus. 
• Bachelor’s or Master’s degree in Computer Science or related technical field. 

Technical Skills:

• Must Have (Integration Experience): ServiceNow, Salesforce, Workday, SAP, Oracle
• Strong proficiency in Python. 
• Familiarity with Azure services and enterprise cloud architectures. 
• Experience integrating with enterprise systems, APIs, and authentication frameworks. 
• Strong understanding of cloud deployment models, security constraints, and operational best practices. 
• Advanced debugging and troubleshooting capabilities. 

Soft Skills:

• Exceptional communication skills across technical and non-technical stakeholders. 
• Strong consultative mindset with the ability to influence architectural decisions. 
• High level of ownership and accountability. 
• Professional presence when engaging enterprise stakeholders. 
• Ability to operate effectively in ambiguous, fast-paced environments. 
• Structured problem-solving and analytical thinking. 
• Highly collaborative and adaptable.

Benefits:

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Architectural influence and hands-on execution
• Global Collaboration: U.S., Mexico, India
• Remote-First Culture with flexible work arrangements
• Career Growth Opportunities in a fast-evolving AI environment

Contract Type: Full-time or Contract-to-Hire. Location: Open to candidates willing to relocate to Palo Alto, CA (Hybrid mode – 3 days onsite per week). (PST-friendly preferred). Eligibility: U.S. Citizens or Green Card holders only.

About DigitalT3

At DigitalT3, we design and deploy AI-powered solutions that transform how enterprises operate. We are not just implementing AI tools — we are building intelligent systems from the core.

We are actively developing next-generation AI capabilities while helping global clients accelerate innovation. Our teams across the U.S., Mexico, and India collaborate to solve complex technical challenges with speed, precision, and impact.

If you’re driven by ownership, technical excellence, and building meaningful technology, DigitalT3 is where you can do your best work.

You will be joining a strategic client initiative, initially engaged through DigitalT3, with a defined path toward potential direct hire by the client.

Role Overview:

We are seeking a Solutions Engineer who combines deep technical expertise with strong consultative capabilities. In this role, you will act as a trusted technical advisor to enterprise customers, guiding them through complex integrations and ensuring our platform delivers measurable business impact within their environments.  You will work directly alongside customer teams-both remotely and on-site when needed- to understand their operational landscape, technical architecture, and strategic objectives. As a key bridge between enterprise stakeholders and our core engineering team, you will drive successful deployments while shaping product evolution through real-world insights.  This is a high-ownership, customer-embedded role requiring flexibility, adaptability, and readiness to engage directly with clients in their environments.   

Key Responsibilities:

Customer-Facing Consulting & Technical Leadership 

• Serve as the primary technical advisor to enterprise clients throughout onboarding, deployment, and expansion phases. 
• Lead technical discovery sessions and translate business requirements into scalable implementation strategies. 
• Provide architectural guidance aligned with enterprise security, compliance, and operational constraints. 
• Build trusted relationships with customer technical and executive stakeholders. 
• Troubleshoot complex issues in real time, maintaining ownership and accountability through resolution. 
• Travel to customer sites as required to support high-impact deployments, workshops, and strategic engagements. 

Integration & Implementation 

• Deploy and configure the platform in enterprise production environments. 
• Integrate with customer systems, APIs, identity providers, data sources, and internal workflows. 
• Implement custom scripts, connectors, or extensions in Python when required. 
• Guide Cloud-based deployments and advise on infrastructure best practices. 
• Ensure deployments are robust, secure, and scalable. 

Operational & Strategic Ownership 

• Develop repeatable deployment frameworks, integration playbooks, and best practices. 
• Partner with Sales and Customer Success on technical scoping and feasibility analysis. 
• Translate field learnings into product and engineering improvements. 
• Support scalable growth of forward-deployed operations. 

Qualifications:

• 7-10 years in software engineering, solutions engineering, implementation engineering, consulting, or forward-deployed roles. 
• Proven experience working directly with enterprise customers in technical engagements. 
• Experience deploying/integrating systems on a major cloud provider (preferably Azure). 
• Strong Python experience in production environments. 
• Experience in high-growth or startup environments is a plus. 
• Bachelor’s or Master’s degree in Computer Science or related technical field. 

Technical Skills:

• Must Have (Integration Experience): ServiceNow, Salesforce, Workday, SAP, Oracle
• Strong proficiency in Python. 
• Familiarity with Azure services and enterprise cloud architectures. 
• Experience integrating with enterprise systems, APIs, and authentication frameworks. 
• Strong understanding of cloud deployment models, security constraints, and operational best practices. 
• Advanced debugging and troubleshooting capabilities. 

Soft Skills:

• Exceptional communication skills across technical and non-technical stakeholders. 
• Strong consultative mindset with the ability to influence architectural decisions. 
• High level of ownership and accountability. 
• Professional presence when engaging enterprise stakeholders. 
• Ability to operate effectively in ambiguous, fast-paced environments. 
• Structured problem-solving and analytical thinking. 
• Highly collaborative and adaptable. 

Benefits:

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Architectural influence and hands-on execution
• Global Collaboration: U.S., Mexico, India
• Remote-First Culture with flexible work arrangements
• Career Growth Opportunities in a fast-evolving AI environment

Contract Type: Full-time or Contract-to-Hire Location: New York (PST-friendly preferred). Eligibility: U.S. Citizens or Green Card holders only.

About DigitalT3

At DigitalT3, we design and deploy AI-powered solutions that transform how enterprises operate. We are not just implementing AI tools — we are building intelligent systems from the core.

We are actively developing next-generation AI capabilities while helping global clients accelerate innovation. Our teams across the U.S., Mexico, and India collaborate to solve complex technical challenges with speed, precision, and impact.

If you’re driven by ownership, technical excellence, and building meaningful technology, DigitalT3 is where you can do your best work.

You will be joining a strategic client initiative, initially engaged through DigitalT3, with a defined path toward potential direct hire by the client.

Role Overview:

We are seeking a Solutions Engineer who combines deep technical expertise with strong consultative capabilities. In this role, you will act as a trusted technical advisor to enterprise customers, guiding them through complex integrations and ensuring our platform delivers measurable business impact within their environments.  You will work directly alongside customer teams-both remotely and on-site when needed- to understand their operational landscape, technical architecture, and strategic objectives. As a key bridge between enterprise stakeholders and our core engineering team, you will drive successful deployments while shaping product evolution through real-world insights.  This is a high-ownership, customer-embedded role requiring flexibility, adaptability, and readiness to engage directly with clients in their environments. 

Key Responsibilities:

Customer-Facing Consulting & Technical Leadership 

• Serve as the primary technical advisor to enterprise clients throughout onboarding, deployment, and expansion phases. 
• Lead technical discovery sessions and translate business requirements into scalable implementation strategies. 
• Provide architectural guidance aligned with enterprise security, compliance, and operational constraints. 
• Build trusted relationships with customer technical and executive stakeholders. 
• Troubleshoot complex issues in real time, maintaining ownership and accountability through resolution. 
• Travel to customer sites as required to support high-impact deployments, workshops, and strategic engagements. 

Integration & Implementation 

• Deploy and configure the platform in enterprise production environments. 
• Integrate with customer systems, APIs, identity providers, data sources, and internal workflows. 
• Implement custom scripts, connectors, or extensions in Python when required. 
• Guide Cloud-based deployments and advise on infrastructure best practices. 
• Ensure deployments are robust, secure, and scalable. 

Operational & Strategic Ownership 

• Develop repeatable deployment frameworks, integration playbooks, and best practices. 
• Partner with Sales and Customer Success on technical scoping and feasibility analysis. 
• Translate field learnings into product and engineering improvements. 
• Support scalable growth of forward-deployed operations. 

Qualifications:

• 7-10 years in software engineering, solutions engineering, implementation engineering, consulting, or forward-deployed roles. 
• Proven experience working directly with enterprise customers in technical engagements. 
• Experience deploying/integrating systems on a major cloud provider (preferably Azure). 
• Strong Python experience in production environments. 
• Experience in high-growth or startup environments is a plus. 
• Bachelor’s or Master’s degree in Computer Science or related technical field. 

Technical Skills:

• Must Have (Integration Experience): ServiceNow, Salesforce, Workday, SAP, Oracle
• Strong proficiency in Python. 
• Familiarity with Azure services and enterprise cloud architectures. 
• Experience integrating with enterprise systems, APIs, and authentication frameworks. 
• Strong understanding of cloud deployment models, security constraints, and operational best practices. 
• Advanced debugging and troubleshooting capabilities. 

Soft Skills:

• Exceptional communication skills across technical and non-technical stakeholders. 
• Strong consultative mindset with the ability to influence architectural decisions. 
• High level of ownership and accountability. 
• Professional presence when engaging enterprise stakeholders. 
• Ability to operate effectively in ambiguous, fast-paced environments. 
• Structured problem-solving and analytical thinking. 
• Highly collaborative and adaptable. 

Benefits:

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Architectural influence and hands-on execution
• Global Collaboration: U.S., Mexico, India
• Remote-First Culture with flexible work arrangements
• Career Growth Opportunities in a fast-evolving AI environment